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AI-docs-assistant
This project demonstrates a complete Retrieval-Augmented Generation (RAG) pipeline built using LangChain, Groq’s ultra-fast LLaMA3-8B, and HuggingFace sentence-transformers to enable smart question-answering over your own PDF files. The architecture follows the Model Context Protocol (MCP), ensuring modular separation
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Python
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StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest Sibuninja/AI-docs-assistantAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx ai-docs-assistant
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"ai-docs-assistant": {
"command": "uvx",
"args": [
"ai-docs-assistant"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
ai-docs-assistant — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt